Data Engineer - Singapore/Hong Kong - Alternative investment firm | Up to $250,000 USD
I’m working with a leading investment firm that is expanding its data and AI capabilities across Asia. They’re now looking for a Financial Data Engineer with strong experience working with Chinese equity data - particularly Wind.
You’ll play a key role in building the data infrastructure that supports fundamental research, working across large financial datasets and making complex market and company data clean, reliable and usable.
What the role demands
3+ years in Data Engineering / Financial Data / Data Platforms
Strong Python & SQL
Hands-on experience with Chinese equity / financial data
Strong Wind experience - APIs, datasets, data structures and troubleshooting
Solid understanding of data modelling, pipelines, cleaning & normalization
Experience with financial data vendors such as Wind, Bloomberg or FactSet
What you'll be doing
Build and improve data pipelines for financial and market datasets
Work extensively with Chinese equity data, including Wind
Clean, structure and normalize complex financial data for research and AI applications
Solve data challenges across companies, securities, entities, corporate events and time series
Work closely with researchers, analysts and engineers to deliver the data they need
Improve data quality, reliability, lineage and accessibility
Help build a scalable AI-ready data layer bringing together internal and external sources
Singapore / Hong Kong | Relocation & visa support available
If you’re a Data Engineer who really understands Wind data and Chinese financial markets, I’d be very interested in speaking.
📩 DM me or reach out to jaynair@durlstonpartners.com for a confidential conversation.